2  Lab Exercise 8

In this exercise, you’ll be using the terra and tidyterra packages to transform a raster dataset, sample it, and then visualize it. The data you’ll be using is satellite imagery from an area near Lake Turkana in Kenya (eastTurkana.tif). These data contain four layers: three values that are in the visual spectrum (red, green, and blue), and then one in near-infrared (nir).

NDVI values below 1 are indicative of cloud cover or water, while values below 0.1 are usually indicative bare earth. When plotting, visualize these using a palette that emphasizes a different values that are greater or less than 0.1.

Include your code in a Quarto document with appropriate headings and descriptive text. Grading criteria are available on Canvas